Adaptive-TMLE for the Average Treatment Effect based on Randomized Controlled Trial Augmented with Real-World Data

no code implementations • 12 May 2024 • Mark van der Laan, Sky Qiu, Lars van der Laan

We decompose the ATE estimand as the difference between a pooled-ATE estimand that integrates RCT and RWD and a bias estimand that captures the conditional effect of RCT enrollment on the outcome.

Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer

no code implementations • 5 Apr 2024 • Toru Shirakawa, Yi Li, Yulun Wu, Sky Qiu, YuXuan Li, Mingduo Zhao, Hiroyasu Iso, Mark van der Laan

We propose Deep Longitudinal Targeted Minimum Loss-based Estimation (Deep LTMLE), a novel approach to estimate the counterfactual mean of outcome under dynamic treatment policies in longitudinal problem settings.

counterfactual Epidemiology +1